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app.py

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+import gradio as gr
+import os
+import openai
+import requests
+import json
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+# openai.api_key='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'
+prompt_templates = {"Default ChatGPT": ""}
+
+def get_empty_state():
+    return {"total_tokens": 0, "messages": []}
+
+def download_prompt_templates():
+    url = "https://raw.githubusercontent.com/JunchuanYu/Sydney/main/prompts.csv"
+    response = requests.get(url)
+
+    for line in response.text.splitlines()[1:]:
+        act, prompt = line.split('","')
+        prompt_templates[act.replace('"', '')] = prompt.replace('"', '')
+
+    choices = list(prompt_templates.keys())
+    return gr.update(value=choices[0], choices=choices)
+
+def on_token_change(user_token):
+    openai.api_key = user_token or os.environ.get("OPENAI_API_KEY")
+
+def on_prompt_template_change(prompt_template):
+    if not isinstance(prompt_template, str): return
+    return prompt_templates[prompt_template]
+
+def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state):
+
+    history = state['messages']
+
+    if not prompt:
+        return gr.update(value='', visible=state['total_tokens'] < 1_000), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']} / 3000", state
+    
+    prompt_template = prompt_templates[prompt_template]
+
+    system_prompt = []
+    if prompt_template:
+        system_prompt = [{ "role": "system", "content": prompt_template }]
+
+    prompt_msg = { "role": "user", "content": prompt }
+    
+    try:
+        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
+
+        history.append(prompt_msg)
+        history.append(completion.choices[0].message.to_dict())
+
+        state['total_tokens'] += completion['usage']['total_tokens']
+    
+    except Exception as e:
+        history.append(prompt_msg)
+        history.append({
+            "role": "system",
+            "content": f"Error: {e}"
+        })
+
+    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else ""
+    chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)]
+    input_visibility = user_token or state['total_tokens'] < 3000
+
+    return gr.update(value='', visible=input_visibility), chat_messages, total_tokens_used_msg, state
+
+def clear_conversation():
+    return gr.update(value=None, visible=True), None, "", get_empty_state()
+
+css = """
+      #col-container {max-width: 80%; margin-left: auto; margin-right: auto;}
+      #chatbox {min-height: 400px;}
+      #header {text-align: center;}
+      #prompt_template_preview {padding: 1em; border-width: 1px; border-style: solid; border-color: #e0e0e0; border-radius: 4px;}
+      #total_tokens_str {text-align: right; font-size: 0.8em; color: #666; height: 1em;}
+      #label {font-size: 0.8em; padding: 0.5em; margin: 0;}
+      .message { font-size: 1.2em; }
+      """
+with gr.Blocks(css=css) as demo:
+    
+    state = gr.State(get_empty_state())
+
+
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("""
+# Sydney-AI <b>
+
+<p align="left"> This app is an intelligent online chat app developed based on the newly released OpenAI API "gpt-3.5-turbo". The app's operating costs are sponsored by "45度科研人". Currently, the tokens is limited to 3000. If you want to remove this restriction, you can input your own OpenAI API key.<p>
+<p align="left"> The default model role of the app is the original assistant of ChatGPT, but you can also choose from the provided roles. <p>
+<p align="left"> Two adjustable parameters are provided to optimize the model: temperature, where a larger value leads to more creative replies, and max tokens, where a larger value allows the model to reply with more content. <p>
+APP link: [https://junchuanyu-sydney.hf.space](https://junchuanyu-sydney.hf.space)""",elem_id="header")
+
+        with gr.Row():
+            with gr.Column():
+                chatbot = gr.Chatbot(elem_id="chatbox").style(color_map=("blue", "green"))
+                input_message = gr.Textbox(show_label=False, placeholder="Enter text and press submit", visible=True).style(container=False)
+                btn_submit = gr.Button("Submit")
+                total_tokens_str = gr.Markdown(elem_id="total_tokens_str")
+                btn_clear_conversation = gr.Button("Restart Conversation")
+            with gr.Column():
+                gr.Markdown("Enter your own OpenAI API Key to remove the 3000 token limit. You can get it follow this instruction [here](https://blog.pangao.vip/%E8%B6%85%E8%AF%A6%E7%BB%86%E6%B3%A8%E5%86%8COpenAI%E6%8E%A5%E5%8F%A3%E8%B4%A6%E5%8F%B7%E7%9A%84%E6%95%99%E7%A8%8B/).", elem_id="label")
+                user_token = gr.Textbox(placeholder="OpenAI API Key", type="password", show_label=False)
+                prompt_template = gr.Dropdown(label="Set a custom insruction for the chatbot:", choices=list(prompt_templates.keys()))
+                prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview")
+                with gr.Accordion("Advanced parameters", open=False):
+                    temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, interactive=True, label="Temperature (higher = more creative/chaotic)")
+                    max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, interactive=True, label="Max tokens per response")
+                # gr.Markdown("![](https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png)",elem_id="header")
+                
+                gr.Markdown("""
+                            you can follow the WeChat public account [45度科研人] and leave me a message!
+                            <div align=center><img width = '200' height ='200' src ="https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png"/></div>""", elem_id="header")
+    btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
+    input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
+    btn_clear_conversation.click(clear_conversation, [], [input_message, chatbot, total_tokens_str, state])
+    prompt_template.change(on_prompt_template_change, inputs=[prompt_template], outputs=[prompt_template_preview])
+    user_token.change(on_token_change, inputs=[user_token], outputs=[])
+
+    
+    demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template])
+
+
+demo.launch(debug=True, height='800px')

requirements.txt

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+openai==0.27.0